Triple
T21241451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wood Brothers Racing |
E523483
|
entity |
| Predicate | primaryCarNumber |
P51166
|
FINISHED |
| Object | 21 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 21 | Statement: [Wood Brothers Racing, primaryCarNumber, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCarNumber Context triple: [Wood Brothers Racing, primaryCarNumber, 21]
-
A.
primaryCarNumberUsed
chosen
Indicates that a particular car number is the main or default one used for an entity in a given context.
-
B.
leadingCarNumber
Indicates the identifier or number assigned to the car that is currently in the leading position relative to others.
-
C.
primaryTransportModel
Indicates that one transport model is designated as the main or default model used for a given context or entity.
-
D.
registrationNumber
Indicates the unique identifier assigned to an entity as part of an official or formal registration process.
-
E.
carNumberUsed
Indicates that a specific car number has been used or assigned in a given context or event.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735239f48819091ffe518b1aed2e8 |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:47 p.m.